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Articles

Privacy-Preserving Algorithms: the Gain and the Loss

Pages 22-28 | Published online: 20 Nov 2020
 

Additional information

Notes on contributors

Zhe Zhang

Zhe Zhang is a PhD candidate in statistics at Rutgers University. He has rich experience in data analysis and modeling with a composite background in statistics, mathematics, and computer science. His research interests broadly lie in statistical machine learning, differential privacy, and high-dimensional statistics.

Linjun Zhang

Linjun Zhang is an assistant professor in the Department of Statistics at Rutgers University. He earned his PhD from the Wharton School, University of Pennsylvania. His research focuses on high-dimensional statistics, adversarial robustness, and differential privacy, with the goal to tackle new challenges raised in the era of Big Data.

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